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CYTUVA

Statistical analysis in different industrial lines

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Contact Information

  • Alfonso Gordaliza Ramos
  • Paseo del Cauce, 59
    Valladolid, Valladolid (47011)
  • Send email
  • 983423000
  • 983423013

Basic Information

  • UniversityUniversidad de Valladolid
  • Center
  • DepartmentStatistics and Operational Research
  • Investigation GroupStatistical analysis in Industrial environments (ANESEI)


Description

Detection and diagnosis of faults in electrical machines using advanced statistical procedures. Statistical analysis of energy efficiency and electricity consumption for public buildings and large consumers. Assurance, maintainability and availability of complex systems. Statistical analysis of traffic accidents and determination of parameters for improving road safety on streets and roads. Statistical analysis and modeling within the framework of robot-human interaction. Statistical analysis of biomarkers.


Other information

Number of researchers:

3

Development status:

In research and development phase

Differentiation in the market:

Quality

Applicability of technology:

No

Companies and markets:

Any industry sector company, as the statistical analysis of process data can be used in any industrial field. Biotech companies interested in developing a disease diagnostic kit

Additional Information:

Equipment available: Statistical packages for the analysis of large volumes of data. Databases on the problems to be addressed. Technical services offered: Statistical analysis of data on industrial processes by means of recently developed advanced statistical procedures. Statistical analysis of biomedical data for the detection of biomarkers. Future prospects (new research lines, search for collaborations, etc.): Analysis of functional data in industrial environments and, in particular, in electric motors. Accident studies at national level through case-control studies. Electrical energy efficiency studies in hospital environments. Analysis and statistical modeling within the framework of human-robot interaction. Other data of interest: The research group collaborates with researchers and groups in the areas of Electrical Engineering, Mechanics, and Systems and Automation Engineering of the EII in the aforementioned lines, as well as with external collaborators (in companies or other universities) of said researchers.

UNESCO Code:

3310 - Industrial technology

Other members:

Miguel Ángel Fernández Temprano

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